Evidence map›Paper›PMID 42427224›Full record

ArticleInternational journal of epidemiology2026

Contributions of preeclampsia to preterm delivery: a hypothetical interventional cohort study using incremental propensity scores.

Wen Wei Loh, Cande V Ananth

Abstract read
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Article in International journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Wen Wei LohDepartment of Methodology and Statistics, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-7086-7281
Cande V AnanthDivision of Epidemiology and Biostatistics, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States.ORCID 0000-0002-0410-2595

Funding

Netherlands Organisation for Health Research and Development 10430382410014
6 · The paper itself

Abstract

backgroundPreeclampsia remains a leading cause of preterm delivery (PTD). Conventional average causal effect estimands may not always be perfectly suited for assessing preeclampsia's contributions because they rely on uniform counterfactual scenarios, such as everyone suffering from preeclampsia. A complementary approach is the incremental propensity score intervention (IPSI), which can address a more action-oriented causal inquiry: How would the population average risk of PTD change from current observed levels if each individual's odds of preeclampsia were reduced by a given amount?

methodsWe applied IPSI to two US population cohorts of singleton pregnancies, separated by two decades (1998-2002, 16.7 million; 2020-2023, 14.2 million), to evaluate the causal effects of gestational hypertension/preeclampsia (GHTN/PE) on PTD within each cohort. We developed and implemented a sensitivity analysis procedure using bias formulas to gauge the impact of potential unmeasured confounding.

resultsBetween 1998 and 2002, halving the individual odds of GHTN/PE would reduce the population average risk of PTD from observed [risk ratio (RR) = 0.969, 95% confidence interval (CI) 0.969-0.970]. Between 2020 and 2023, when GHTN/PE was more prevalent, halving the odds of preeclampsia would lead to an even greater reduction in average PTD risk (RR = 0.948, 95% CI 0.947-0.948). Sensitivity analyses demonstrated that these conclusions held under assumptions encoding relatively strong unmeasured confounding.

conclusionsThe IPSI approach offers more nuanced understanding and clinically meaningful interpretations of causal effects, such as by how much partially reducing the odds of GHTN/PE, while allowing it to remain non-zero, can lower the average risk of PTD.

Indexed as

Pre-EclampsiaPremature BirthAdultCausalityCohort StudiesFemaleHumansHypertension, Pregnancy-InducedPregnancyPropensity ScoreRisk FactorsUnited Statescausal estimandgestational hypertensionincremental propensity score intervention (IPSI)preeclampsiapreterm deliverysensitivity analysisunmeasured confounding

Identifiers

PMID42427224
PMCPMC13350943

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.